Competing Risks and Survival Analysis

Kees van Montfort, Peter Fennema, Wendimagegn Ghidey

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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The analysis of time-to-event data in the presence of competing risks is part of many studies today. However, the impact of the interrelationship between the competing risks on the interpretation of the results seems to be unclear to many researchers, however. We try to provide a guide to researchers interested in analysing competing risks data. Estimation of the cause-specific hazard function, the cumulative incidence function, the Gray test statistic, and the multi-stage models for analysing competing risks data are explained. Furthermore, we apply the theoretical methodology and illustrate the fundamental problems of interpreting the results of competing risk analyses by using empirical data in the field of outcome research in orthopaedics.
Original languageEnglish
Title of host publicationDevelopments in Statistical Evaluation of Clinical Trials
EditorsKees van Montfort, Johan Oud, Wendimagegn Ghidey
Place of PublicationHeidelberg
ISBN (Electronic)9783642553455
ISBN (Print)9783642553448
Publication statusPublished - 2014
Externally publishedYes


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